Reduced order modeling for transient simulation of power systems using trajectory piece-wise linear approximation. - Muhammad Haris Malik; Domenico Borzacchiello; Francisco Chinesta; Pedro Díez (Adv. Model. Simul. Eng. Sci., 2016)

Inductive Learning from State Transitions over Continuous Domains. - Tony Ribeiro; Sophie Tourret; Maxime Folschette; Morgan Magnin; Domenico Borzacchiello; Francisco Chinesta; Olivier F. Roux; Katsumi Inoue (ILP, 2017)

A Simulation App based on reduced order modeling for manufacturing optimization of composite outlet guide vanes. - José Vicente Aguado; Domenico Borzacchiello; Chady Ghnatios; François Lebel; Ram Upadhyay; Christophe Binetruy; Francisco Chinesta (Adv. Model. Simul. Eng. Sci., 2017)

Shape parametrization of bio-mechanical finite element models based on medical images. - Nathan Lauzeral; Domenico Borzacchiello; Michael Kugler; Daniel George; Yves Rémond; Alexandre Hostettler; Francisco Chinesta (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. - Nathan Lauzeral; Domenico Borzacchiello; Michael Kugler; Daniel George; Yves Rémond; Alexandre Hostettler; Francisco Chinesta (Comput. Methods Programs Biomed., 2019)

Tensor Representation of Non-linear Models Using Cross Approximations. - José Vicente Aguado; Domenico Borzacchiello; Kiran S. Kollepara; Francisco Chinesta; Antonio Huerta (J. Sci. Comput., 2019)

Sparse data-driven quadrature rules via 𝓁p-quasi-norm minimization. - Mattia Manucci; José Vicente Aguado; Domenico Borzacchiello (CoRR, 2020)

Residual-based adaptivity for two-phase flow simulation in porous media using Physics-informed Neural Networks. - John M. Hanna; José Vicente Aguado; Sebastien Comas-Cardona; Ramzi Askri; Domenico Borzacchiello (CoRR, 2021)

Sparse Data-Driven Quadrature Rules via ℓ p -Quasi-Norm Minimization. - Mattia Manucci; José Vicente Aguado; Domenico Borzacchiello (Comput. Methods Appl. Math., 2022)

An iterative multi-fidelity approach for model order reduction of multi-dimensional input parametric PDE systems. - Manisha Chetry; Domenico Borzacchiello; Lucas Lestandi; Luisa Rocha-Da-Silva (CoRR, 2023)

Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes. - José M. Navarro-Jimenez; José Vicente Aguado; Grégoire Bazin; Vicente Albero; Domenico Borzacchiello (J. Intell. Manuf., 2023)

Sparse approximations for contact mechanics. - Kiran S. Kollepara; José Vicente Aguado; Yves Le Guennec; Luisa Rocha-Da-Silva; Domenico Borzacchiello (CoRR, 2024)

Sensitivity analysis using Physics-informed neural networks. - John M. Hanna; José Vicente Aguado; Sebastien Comas-Cardona; Ramzi Askri; Domenico Borzacchiello (Eng. Appl. Artif. Intell., 2024)

Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks. - Mouad Elaarabi; Domenico Borzacchiello; Philippe Le Bot; Yves Le Guennec; Sebastien Comas-Cardona (Mach. Learn., 2025)

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks. - Mouad Elaarabi; Domenico Borzacchiello; Philippe Le Bot; Nathan Lauzeral; Sebastien Comas-Cardona (CoRR, 2025)